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http://hdl.handle.net/10609/1389
Title: Toward a semantic approach for automatic composition of Learning Grid Services
Author: Gutiérrez Carreón, Gustavo
Daradoumis Haralabus, Atanasi  
Jorba i Esteve, Josep
Others: Universitat Oberta de Catalunya. Distributed, Parallel and Collaborative Systems (DPCS)
Issue Date: 2008
Citation: GUTIÉRREZ, G.; DARADOUMIS, A.; JORBA, J. (2008). "Toward a semantic approach for automatic composition of Learning Grid Services". In: International Workshop on Web/Grid Information and Services Discovery (WGISD-2008). IEEE Computational Intelligence Society. Barcelona. 6 March. ISBN: 0-7695-3109-1.
Abstract: Due to their potential advantages, the use of Grid technologies toward the development of collaborative and personalized learning frameworks has been considerably increased. These learning frameworks can be constructed based on the distributed learning services and resources available in a learning Grid environment. A problem still unsolved is how to use and integrate low-level learning services to compose more complex high-level services or tools that can be useful to both tutors and learners. In that sense, on the one hand, semantic description of Grid learning services appears to be a powerful tool that can be used to discover suitable learning services depending on the systemâ¿¿s semantic capabilities. On the other hand, it can be employed to carry out a matching process among the learning services located in a learning framework to obtain the best fit according to specific functional parameters. These parameters represent significant characteristics of a learning Grid environment. This paper presents an initial effort that integrates schema and ontology matching methods that aim to develop a model to cope with the complex problem of automatic composition of Grid based learning tools and their portals.
Language: English
URI: http://hdl.handle.net/10609/1389
ISBN: 978-0-7695-3109-0
Appears in Collections:Conference lectures

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